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Deep belief nets (DBNs) with multiple artificial neural networks (ANNs) have attracted many researchers recently. In this paper, we propose to compose restricted Boltzmann machine (RBM) and multi-layer perceptron (MLP) as a DBN to predict chaotic time series data, such as the Lorenz chaos and the Henon map. Experiment results showed that in the sense of prediction precision, the novel DBN performed...
This paper proposes a voice command learning system for partner robots acquiring communication ability with instructors. Parameter-less Growing Self-Organizing Map (PL-G-SOM), an intelligent pattern recognition model given by our previous work, is used and computational feeling of robots is also adopted to improve the human-machine interaction system. AIBO robot was used in the experiment and the...
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